講演情報
[C-12-40]AI-Assisted Compensation Capacitor Optimization of Operational Amplifiers
〇Ned Sureechainirun1, Wenqian Wang1, Nabil Soliman1, Yuncheng Zhang1, Kenichi Okada1 (1. Institute of Science Tokyo)
キーワード：
Operational Amplifier、Circuit Optimization、Artificial Intelligence、Large Language Model
Artificial intelligence (AI) and large language models (LLMs) have emerged as powerful automation tools in circuit design. This paper presents an automatic and AI-assisted optimization of Miller compensation capacitors in a simple 2-stage operational amplifier (op-amp). The result shows that the LLM-based AI agent can be used for automatic circuit optimization, provided clear instructions are given.